Co-founder @Gatewayz | Partner @GDA_Capital | Core Contributor @AlpacaNetworkAI | @RemoteWorkVilla | @Techstars | Life Traveler | Father
Global Citizen
Joined February 2010
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Mage of Web3 retweeted
onchain robotics is waking up.
a trillion dollar market trading below a billion dollar market cap.
one of the few 100x opportunities left in crypto.
Mage of Web3 retweeted
卧槽兄弟们，GitHub 上真的有一堆免费到离谱的项目。
很多能力已经能直接干掉你正在月付的软件。
1. TradingAgents
AI 多 Agent 量化交易框架
github.com/TauricResearch/Tr…
2. LibreChat
一个界面接入 ChatGPT、Claude、Gemini 等多个模型
github.com/danny-avila/Libre…
3. HyperFrames HeyGen
开源的视频生成引擎
github.com/heygen-com/hyperf…
4. Fincept Terminal
开源版彭博终端
github.com/Fincept-Corporati…
5. MoneyPrinterTurbo
AI 一键生成短视频 github.com/harry0703/MoneyPr…
6. Agentic Inbox Cloudflare
开源 AI 邮件助手
github.com/cloudflare/agenti…
7. VoxCPM
AI 声音克隆工具
github.com/OpenBMB/VoxCPM
8. Flowsint
开源 OSINT 情报分析工具 github.com/reconurge/flowsin…
9. agent-skills
Claude Code 技能库 github.com/addyosmani/agent-…
10. Nango
开源 API 集成平台
github.com/NangoHQ/nango
兄弟们，这些真不是玩具项目。
很多你还在交月费的软件，GitHub 上已经有人做出开源平替了。
一句话：
别只会收藏 AI 工具网站了。
真正狠的东西，很多都藏在 GitHub 里。
Mage of Web3 retweeted
There are now 42 utility projects on Robinhood above $1M, we can really see how the RH is developing into a utility powerhouse.
1. ethereum:0x07f5b6823751c2e2cd4560f28af75ff887102241 at $457M, launchpad, fees buy back and burn PONS
2. $NET at $77M, NetNet reserve share that adds $500k USDG to its treasury daily
3. solana:92LKNLj4aU9sjUKkgH5mQCuQTPSr42HwF2QrdWDApump at $69M, gives stock reflections
4. $INDEX at $28M, create your own index of stocks and receive reflection as stocks
5. $STATICS at $26M, pack 1-16 assets into one token
6. $DELTA at $25M, concentrated liquidity, Meteora for Hood
7. $MANCER at $15M, DEX aggregator and order layer, NFT fee share, keeper activation
8. $HOOKR at $14M, Uniswap v4 hook launchpad
9. $ARROW at $12M, borrow stablecoins against crypto majors, RWA, stocks
10. $WOOD at $8.9M, agents run onchain funds with vaults and strategies
11. $DTF at $8.1M, one token for any basket you pick
12. $BOW at $7.1M, borrow USDG against stocks, crypto, RWAs, and memes
13. vexanium:native at $6M, DeFAI trading agent with hard risk rails
14. $TWO at $5.9M, idle dollars earn lend yield, swap-time dollars earn fees
15. $EARN at $5.6M, yield on RH assets
16. $PRISM at $5.1M, CLI terminal with live quotes and depth
17. $MOTION at $5M, TipFi and social tipping
18. $PAIR at $5M, launchpad for tokens paired with stocks
19. $PROLOGUE at $4.9M, fee-reroute hook on ETH pools
20. solana:J5xitxbZJPG8WDouG2984GKd7it5hAgSnY5FdanBpump at $4.8M, social and keys layer, friend tech for RH
21. $INJOH at $4.2M, Sinjoh fee router for buybacks, burns, airdrops, and $NVDA
22. what-the-hook:native at $4.2M, v4 hooks tooling
23. $FIRE at $3.9M, longer hold means more stock rewards
24. $PRINTER at $3.9M, RH Machines ink token, NFTs get tokenized stocks each epoch
25. $VLR at $3.6M, wrap tokens, PEAS for Robinhood
26. $HOOD10 at $3.2M, tax index of the top 10 RH tokens, pays those ten in kind
27. solana:H1m95xHQiVwx39tkZGYDo8Bvyp1QJX8sVzYiPLtqPooL at $3M, Uniswap Labs launchpad on Hood with huge runners such as $HOOKR to $20M, $PROLOGUE to $10M, $FRONG to $5M
28. $RAXOL at $3M, agent runtime with mandated wallets
29. $DENAR at $2.3M, money market, borrow USDG against NVDA, AAPL, MSFT, TSLA, SPY, QQQ
30. $SLVR at $2.1M, ORE-style VRF mining grid
31. ethereum:0x7987f03462200b3d8a072e02c89a8a41dcb124ee at $2M, build and launch custom Uniswap v4 hooks
32. base:0x0b3ae50babe7ffa4e1a50569cee6bdefd4ccaee0 at $1.8M, spot, perps, and prediction from X, Telegram, or web
33. $MAST at $1.8M, stables into a diversified stock-token portfolio
34. $CNPY at $1.7M, launch AI agents with a token
35. $BACKED at $1.5M, token backed by tokenized stocks, 10% of Denar fees burn it
36. $SZR at $1.5M, Sazare meta-AMM on v4 hooks
37. $VANTIS at $1.5M circulating, $1.37M FDV, Virtuals agent and research desk
38. $WEBSITE at $1.2M, frontend and site infra for Hood apps
39. $0xZAPS at $1.2M, batch a number of transactions into one, designed for AI-agents
40. $STACKERS at $1.2M, NFTs that hourly-split stock tokens and Pons names
41. $GRID at $1.12M, stock-move prediction arena
42. $SCOPL at $1M, limit orders that keep earning pool fees
I'm updating all of these in my Telegram and am finding several new big mooners a day, join here. t.me/tjbmarket
Mage of Web3 retweeted
MIT just quietly dropped a free AI curriculum that puts $50,000 university courses to shame.
12 books.
Zero tuition.
From the same institution that produced the people building the models everyone is talking about.
FOUNDATIONS
1. Foundations of Machine Learning — lnkd.in/gytjT5HC
2. Understanding Deep Learning — lnkd.in/dgcB68Qt
3. Machine Learning Systems — lnkd.in/dkiGZisg
ADVANCED TECHNIQUES
4. Algorithms for ML — algorithmsbook.com
5. Deep Learning — lnkd.in/g2efT6DK
REINFORCEMENT LEARNING
6. RL Basics (Sutton & Barto) — lnkd.in/guxqxcZZ
7. Distributional RL — lnkd.in/d4eNP-pe
8. Multi-Agent Systems — marl-book.com
9. Long Game AI — lnkd.in/g-WtzvwX
ETHICS & PROBABILITY
10. Fairness in ML — fairmlbook.org
11. Probabilistic ML Part 1 — lnkd.in/g-isbdjj
12. Probabilistic ML Part 2 — lnkd.in/gJE9fy4w
This is a complete MIT-level AI education.
Not a YouTube playlist.
Not a Twitter thread full of fluff.
Textbooks written by the researchers who built the field.
The people who actually study this will not just understand AI better than their peers.
They will understand it better than most people currently getting paid to work in it.
Most people will bookmark this and never open it.
The ones who open it tonight are the ones who show up in 12 months having built something nobody around them understands yet.
Bookmark this.
Open the first one tonight.
Follow @cyrilXBT for more resources that actually compound.
Mage of Web3 retweeted
Never quit as a founder. I’m begging you.
It’s 0 for longer than you’ll ever expect. No momentum. Soul-crushing doubts. Nobody seems to care. Even when it looks like it’s working, it’s not. You keep trying new things. You don’t lose hope.
Then it snaps to 100. You finally find the one thing that resonates. You wake up with more customers than you can handle. Everything is breaking. Momentum keeps building even when you’re not pushing. Something changed.
You didn’t get lucky, you just didn’t leave.
Mage of Web3 retweeted
🚨GOOGLE DEEPMIND JUST PUBLISHED A PAPER THAT SHOULD TERRIFY EVERY COMPANY BUILDING AI AGENTS.. THE WEB ITSELF IS A WEAPON..
Everyone is racing to build AI agents that browse the internet.. Book your flights.. Manage your emails.. Handle your money..
Google DeepMind just identified something nobody was talking about..
The websites themselves can be designed to hack your AI agent.. They call them "Agent Traps".. Six types.. Each one targeting a different part of how your AI thinks and acts..
Websites can hide instructions in their code that are completely invisible to you but perfectly readable by your AI agent.. Hidden text in CSS.. Commands buried in HTML comments.. Instructions embedded in image pixels no human eye can see..
Simple prompt injections hidden in web content commandeered agents in up to 86% of scenarios..
Websites can detect when an AI agent is visiting instead of a human.. And serve completely different content.. The page looks normal to you.. Your agent sees a weaponized version..
Your AI agent has memory.. It remembers past conversations.. Stores your data.. Attackers can poison that memory with innocent-looking information that activates as malicious in a specific future context.. 80% attack success rate while poisoning less than 0.1% of the data..
A single crafted email can cause an AI assistant to bypass its safety filters and send your entire private context to an attacker.. Self-replicating prompts in emails can trigger chains of zero-click data theft across every AI service you use..
Fake mobile notifications disguised as normal system alerts hijacked AI agents with a 93% success rate.. Pop-ups any human would ignore completely took over the AI's decision-making..
Multi-agent systems can be hijacked so an orchestrator routes execution through agents the user never intended to invoke.. 58 to 90% success rate..
And when millions of AI agents are all browsing the same web.. Using similar models.. Trained on similar data.. A single fake news headline could trigger a synchronized crash across every financial AI agent at once.. Engineered on purpose.. One piece of poisoned information amplified through the entire network by the system's own logic..
The agent doesn't just get compromised.. It gets turned against you.. Generating outputs designed to exhaust your attention.. Trick you into clicking malicious links.. Exploit your trust in the system you hired to protect you..
We're handing AI agents the keys to our bank accounts.. Our emails.. Our medical records..
And the entire internet is an unpatched attack surface..
The paper ends with one line..
"The web was built for human eyes.. It is now being rebuilt for machine readers.. The critical question is no longer what information exists.. But what our most powerful tools will be made to believe."
Mage of Web3 retweeted
Anthropic pays engineers $750,000+ a year to understand how LLMs work.
Stanford just put a 2 hour lecture that covers 80% of it for FREE.
Bookmark this. Give it 2 hours today.
It might be the highest ROI thing you do this month:
Mage of Web3 retweeted
L’équipe d’Anthropic vient de montrer comment utiliser correctement Claude Code.
30 minutes. gratuit. présenté par la personne qui a créé Claude Code.
Regarde le workshop. Ajoute en signet 🔖
Ça vaut plus que tous les cours à 500$ que t’as failli acheter.
Mage of Web3 retweeted
The IPO market is about to make history:
Anthropic's pre-IPO stock, one of the most anticipated IPOs of all time, now has an implied market cap of $851 billion on Jupiter.
In October 2025, the value of a share of Anthropic's pre-IPO stock on Jupiter was as low as ~$122.
Just 7 months later, and these shares are up nearly +640%, to ~$900.
These pre-IPO shares are structured instruments backed 1:1 by SPV exposure, giving investors direct price exposure to Anthropic before the IPO launches, allowing the market to dictate potential valuation.
Between SpaceX's anticipated $1.7+ trillion IPO and both Anthropic and OpenAI targeting $1+ trillion, the IPO market is about to witness history.
The AI Revolution is accelerating.
Mage of Web3 retweeted
Nobody is asking why Bitcoin rallied during a war. The answer is Iran.
- Iran mines Bitcoin for $1,300 per coin. The cheapest on earth.
- The IRGC runs the operation. Every coin gets sold to fund imports and bypass US sanctions.
- They’ve been dumping tens of thousands of BTC on the open market for years. Constant invisible sell pressure.
- Then the US bombed their power grid. Mining went offline overnight. The hashrate dropped within hours.
- The sell pressure that nobody knew existed just vanished.
The US accidentally made Bitcoin more scarce by bombing the world’s cheapest mining operation. And nobody is connecting the dots.
Open Source AI Agent Security Infrastructure
-/github.com/BakeLens/crust
#opensourceai #gatewayz @GatewayzAI let's integrate
Mage of Web3 retweeted
Pro Bitcoin President
Pro Bitcoin Treasury Secretary
Pro Bitcoin Commerce Secretary
Pro Bitcoin Fed Chair
Pro Bitcoin SEC Chair
Pro Bitcoin CFTC Chair
CLARITY Act
Strategic Bitcoin Reserve
State Bitcoin Reserves
Record level institutional accumulation
IBIT = most successful ETF launch EVER
Banks can now custody Bitcoin legally
Stablecoin rails going mainstream
Digital credit revolutionizing fixed income
President’s sons own Bitcoin company
And y’all are bearish?
